Exploration and Practice of Artificial Intelligence Empowering Diagnosis and Treatment of Hematological Diseases
DOI:
https://doi.org/10.71222/95kr3016Keywords:
artificial intelligence, blood disease, machine learning, auxiliary diagnosis, clinical information processingAbstract
Artificial intelligence technology has made great progress in the clinical treatment of blood diseases. This paper comprehensively discusses the core application of artificial intelligence in the diagnosis and treatment of blood diseases, summarizes the existing problems, such as non-standard data standards, small sample size, insufficient model interpretability and disconnection between the system and clinical process, and puts forward solutions, such as the establishment of high-quality data platform. Optimize convenient clinical decision assistance, strengthen the combination of model and procedure, and increase the training of compound talents to promote the intelligent and standardized direction of blood disease diagnosis and treatment.
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